Map Data - Urban Noise Levels | 237 Countries Coverage | CCPA, GDPR Compliant | 100% Opted-In Users | 35 B + Data Points | 100% Traceable Consent

Silencio’s Street Noise-Level Dataset provides urban planners, municipalities, and infrastructure designers with a uniquely accurate and actionable understanding of real-world acoustic environments. Built from over 35 billion datapoints collected globally via our mobile app and enhanced with AI-powered interpolation, this dataset delivers hyper-local average noise levels (dBA) across streets, neighborhoods, and venues in over 200 countries. The images are designed to support critical use-cases such as city planning, public health assessments, mobility optimization, and sustainable infrastructure development. Unlike traditional models based on purely simulated data, Silencio combines real measurements with AI-driven predictions to produce the most reliable and granular noise-level insights available. In addition to objective acoustic data, Silencio also provides access to the world’s largest noise complaint database, offering urban planners valuable context through community-reported issues, enabling more people-centered design and policy decisions. We offer on-demand delivery of noise-level maps for entire cities, regions, neighborhoods, or even specific streets, available in multiple formats: • CSV exports • S3 bucket delivery • High-resolution images, suitable for GIS integration, urban planning reports, visualizations, and public consultations. The dataset is available as both historical and continuously updated records, making it suitable for monitoring trends and performing impact assessments. We are also actively developing an API and are open to discussions for custom integrations, early API access, or tailored formats based on client needs. All data is fully anonymized, GDPR-compliant, and ready to be used responsibly in public or private sector urban development initiatives.